Bachelor Thesis
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Texture-based text detection in digital images using wavelet features and support vector machines
(2010)
In this bachelor thesis a new texture-based approach for the detection of text in digital images is presented. The procedure can be essentially divided into two main tasks, in detection of text blocks and detection of individual words, whereby the individual words are extracted from the detected text blocks. Roughly, the developed method acts with multiple support vector machines, which classify possible text regions of an image into real text regions, using wavelet-based features. In the process the possible text regions are defifined by edge projections with diσerent orientations. The results of the approach are X/Y coordinates, width and height of rectangular regions of an image, which contains individual words. This knowledge can be further processed, for example by an optical character recognition software to get the important and useful text information.
TGraphBrowser
(2010)
This thesis describes the implementation of a web server that enables a browser to display graphs created with the Java Graph Laboratory (JGraLab). The user has the choice between a tabular view and a graphical presentation. In both views it is possible to navigate through the graph. Since graphs with thousands of elements may be confusing for the user, he or she is given the option to filter the displayed vertices and edges by their types. Furthermore, the number of graph elements shown can be limited by means of a GreQL query or by directly entering their ids.
There are a few systems high and low-cost ones for gaze tracking. Normally low-cost systems go in hand with low-resolution cameras. Here the image quality is poor, so the algorithms for detecting the gaze have to work more precisely. But how to test and analyse them correctly, when there is a bad image quality and no reference point known? The idea of this work is, to generate synthetic eye images, where the reference points are known, because they are mainly manually set and then to test and analyse the algorithms with these synthetic images. By switching on features like gaussian noise or a second glint-like reflection point, it is possible to stepwise approximate the synthetic images close to reality. In fact the experiments will lead to an improvement of the algorithms used in a low-resolution system environment.
In this thesis a web service (SOA) is designed and implemented that can detect a watermark in an audio file by remote control. The thesis forms part of the URM (Usage Rights Management) project, which is developed at the University of Koblenz-Landau. The project deals with a concept of a licencing process that keeps users informed about their rights on acquired digital content. Taking WAV files as an example, the thesis represents a rudimentary way of extracting information from a digital medium.